a code. Here is my
> original python
>
> binomial = udf(lambda labelStr: labelStr if (labelStr == "noise") else
> “signal", StringType())
> ret = dataFrame.withColumn(newColName, binomial(dataFrame["label"]))
>
>
> Any suggestions would be greatly appreciat
In your case, I would suggest you to extends UnaryTransformer which is much
easier.
Yeah, I have to admit that there's no document about how to write a custom
Transformer, I think we need to add that, since writing custom Transformer
is a very typical work in machine learning.
On Tue, Dec 22,
I am trying to port the following python function to Java 8. I would like my
java implementation to implement Transformer so I can use it in a pipeline.
I am having a heck of a time trying to figure out how to create a Column
variable I can pass to DataFrame.withColumn(). As far as I know
